I've currently decided to get a second bachelor's in Statistics over 1.5 years after finishing my first bachelor's in math. Both of these degrees are debt free and follow a passion of mine. The next goal is to work in industry for about three years at my parent's home while taking one class a semester in Computer Science online to save for a master's in Statistics with Thesis where I hope to take some really advanced courses over two years.
The big idea is that I could grab courses like Categorical Data Analysis, Multivariate Statistics, Nonparametric stats (and maybe substitute mathematical stats 1 and 2 with graduate Measure Theory) etc during my second B.S. and then focus on the really advanced statistics courses and math courses during my masters like advanced graduate topology, experimental design and bayesian analysis
Then I would start a PhD in say Computer Science focused on Machine Learning to develop cutting edge statistical tools based on theoretical principles in Statistics, computational topology, measure theory etc.
Would this be too much education? I want to do more than just take classes on various statistical methods before a PhD.
Edit: I should add that the answer I received from r/datascience was to go straight into a Masters program. But since I can't afford that yet, I guess the answer in my circumstances is that I can do a second B.S. in Stats or Comp Sci if I'm making good money near my parent's home?